ComfyUI ExLlamaV2 Nodes

A local text generator for ComfyUI utilizing ExLlamaV2.

Installation

Make sure your ComfyUI is up to date and clone the repository to custom_nodes:

git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes custom_nodes/ComfyUI-ExLlamaV2-Nodes

Install the requirements:

pip install -r custom_nodes/ComfyUI-ExLlamaV2-Nodes/requirements.txt

Caution

If you're on Windows or see any ExLlamaV2-related errors while the nodes are loading, try to install it manually following the official instructions.

Check which wheel you need with:

python -c "import platform; import torch; print(f'Python {platform.python_version()}, Torch {torch.__version__}, CUDA {torch.version.cuda}')"

Usage

Only EXL2 and 4-bit GPTQ models are supported. You can find a lot of them on Hugging Face. Refer to the model card in each repository for details about quant differences and instruction formats.

To use a model with the nodes, you should clone its repository with git or manually download all the files and place them in models/llm. For example, if you'd like to download Mistral-7B, use the following command:

git clone https://huggingface.co/LoneStriker/Mistral-7B-Instruct-v0.2-5.0bpw-h6-exl2-2 models/llm/mistral-7b-exl2-b5

Tip

You can add your own llm path to the extra_model_paths.yaml file and place the models there instead.

Nodes

Loader	Loads models from the llm directory.
	cache_bits	Lower value equals lower VRAM usage but also impacts generation speed.
	max_seq_len	Max context, higher value equals higher VRAM usage. 0 will default to config.
Generator	Generates text based on the given prompt. Refer to text-generation-webui for parameters.
	unload	Unloads the model after each generation.
	single_line	Stops the generation on newline.
	max_tokens	Max new tokens, 0 will use available context.
Previewer	Displays generated text in the UI.
Replacer	Replaces variable names enclosed in brackets, eg [a], with their values.

Workflow

The example workflow is embedded in the image below and can be opened in ComfyUI.